Enhancing downstream ML performance with unconditional diffusion models for return predictions by Agarwala, Pratham

“…We use refinement process which leverages the implicit probability density learned by the diffusion model serving as a prior, to iteratively improve the output. …”
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Biologically inspired visual intelligence for unmanned ground vehicles by Peyman Moghadam

“…The human visual system has a capability to learn and adapt to its surrounding environment robustly despite the complexity possessed by ground cover variations, uncontrolled lighting, weather conditions, and shadows. …”
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P4-network : a networking infrastructure for intra-aircraft cabin wireless communication by Pham, Chau Khoa.

“…The project focuses on peer-to-peer communication schemes, and en-compasses the use of redundant communication paths as a method to address the problem of line-of-sight blocking. …”
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System-level design of low-carbon structures by Fang, Demi L.

“…In this framework, a machine learning model is trained on a provided set of design data to compute gradients across the design space. …”
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Nonlinear regression approach for GPS multipath mitigation : from code to carrier-phase measurements by Phan, Quoc Huy

“…Advantageously, while being scalable with data rate, the proposed method is shown to be not harmful to other signals (simulation). …”
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Wind tunnel design and fabrication for lift force investigation by Ong, Jun Wei

“…Researchers and scientist often make use of wind tunnel to learn more about airflow and aerodynamic forces experienced by the object through collation of data. …”
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A product conceptualization strategy based on crowd-innovation by Chang, Danni

“…An enhanced innovation evaluation method based on grey and fuzzy theories is developed. …”
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Arsenic (III) removal from water using natural sedimentary rocks by Yusof, Nur Zulaikha

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Generation, Detection, and Evaluation of Role-play based Jailbreak attacks in Large Language Models by Johnson, Zachary D.

“…Through these processes, we learn the following information, respectively. 1) Out-of-the-box models such as GPT-4 are effective at generating successful role-play jailbreak attack prompts when being generated on just a few examples via fewshot prompting. 2) We can automatically classify LLM responses as jailbroken or not with high accuracy using statistical methods including Principal Component Analysis (PCA) and Support Vector Machines (SVMs). 3) Most classification architectures are unable to perform the complex task of accurately predicting whether a role-play prompt will successfully yield a jailbreak attack. …”
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Investigation of fluorescence lifetime imaging for quantitative cervical cancer screening and diagnosis by Gu, Jun

“…Mean and standard deviation of the characteristic fluorescence lifetime were used as feature vectors to feed into a neural network extreme learning machine (ELM) classifier for discrimination. …”
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Cognizant multitasking in multiobjective multifactorial evolution : MO-MFEA-II by Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“…While multitasking solvers have led to recent success stories, a known shortcoming of existing methods is their inability to adapt the extent of transfer in a principled manner. …”
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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…Performance of neural networks bears strong relationship with learning rate, number of hidden layers and number of nodes in hidden layer. …”
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Examining diabetes management apps recommended from a Google search : content analysis by Jimenez, Geronimo, Lum, Elaine, Car, Josip

“…Objective: The objective of this study was to investigate apps identified through a Google search and characterize these apps in terms of features that support diabetes management. Methods: We performed a Google search for the “best diabetes apps 2017” and explored the first 4 search results. …”
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Energy-efficient hardware accelerators based on bit-serial graph and memory-centric computing architectures by Mu, Junjie

“…In the second half of the thesis, we propose two all-digital bit-serial computing graph-based accelerators to solve PDEs using the finite difference method (FDM) and a checkerboard grid update method. …”
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Perovskite superstructures and heterostructures for enhanced optical performance by Chan, Wen Kiat

“…In this work, MA/FA/CsPbBr3 perovskite SSs were synthesized using the more scalable and facile ligand-assisted reprecipitation (LARP) method, demonstrating both the existence of hybrid perovskite SSs and the potential of the LARP method in obtaining perovskite SSs. …”
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Autoencoder-Based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter by Abadjiev, D., Adams, T., Adzic, P., Ahmad, M., Amendola, C., Andrews, M. B., Arcidiacono, R., Argiro, S., Askew, A., Auffray, E., Azzolini, V., Bailleux, D., Band, R., Barney, D., Barria, P., Bartosik, N., Basile, C., Bastos, D., Bell, K. W., Besancon, M., Bianco, R., Biino, C., Blinov, V., Borca, C., Bornheim, A., Brown, R. M., Campana, M., Castells, S., Cavallari, F., Cetorelli, F., Chatterjee, R. M., Chatterjee, S., Chaudhary, G., Chen, J. A., Chernyavskaya, N., Chung, H., Cipriani, M., Cokic, L., Cooke, C., Cossio, F., Couderc, F., Cristoforetti, D., Cucciati, G., Cunqueiro Mendez, L., Da Silva Di Calafiori, D., Dafinei, I., Cockerill, D. J. A., Dejardin, M., Re, D. Del, Ricca, G. Della, Depasse, P., Dervan, J., Marco, E. Di, Diemoz, M., Dimova, T., Dissertori, G., Dittmar, M., Dolgopolov, A., Donegà, M., Dordevic, M., Mamouni, H. El, Errico, F., Espinosa, F., Faure, J. L., Fay, J., Menendez, J. Fernandez, Ferri, F., Finco, L., Fiori, F., Frahm, E., Funk, W., Gadek, T., Gajownik, J., Galli, M., Ganjour, S., Gascon, S., Ghezzi, A., Ghose, P., Gninenko, S., Goadhouse, S., Godinovic, N., Golubev, N., Govoni, P., Gras, P., Hakala, J., de Monchenault, G. Hamel, Harilal, A., Härringer, N., Hashmi, R., Heath, H. F., Hirosky, R., Ho, K. W., Hou, X., Ingram, Q., Jain, Sh., Javaid, T., Jessop, C., Jimènez, R., Joshi, B. M., Jourd‘hui, E., Kaadze, K., Kao, Y.-W., Kardapoltsev, L., Khurana, R., King, J., Kirilovas, A., Konstantinov, D., Kovac, M., Krishna, A., Kuo, C. M., Lambrecht, L., Lavizzari, G., Lecoq, P., Ledovskoy, A., Legger, F., Lelas, D., Li, Y. y., Liang, Z., Lin, W., Longo, E., Loukas, N., Lu, R. -S., Lustermann, W., Lutton, L., Lyon, A. -M., Maeshima, K., Malcles, J., Mandrik, P., Manzoni, R. A., Marchese, L., Marinelli, N., Marini, A. C., Martin, L., Marzocchi, B., Mascellani, A., Massironi, A., Matveev, V., Mazza, G., Meridiani, P., Mijic, M., Mijuskovic, J., Milenovic, P., Milosevic, J., Monteno, M., Monti, F., Moortgat, F., Mousa, J., Mudholkar, T., Nessi-Tedaldi, F., Nicolaou, C., Nigamova, A., Obertino, M. M., Organtini, G., Orimoto, T., Orlandi, F., Ovtin, I., Paganis, E., Papagiannis, D., Pandolfi, F., Paramatti, R., Park, K., Pastrone, N., Paulini, M., Pauss, F., Petkovic, , A., Petraityte, E., Pettinacci, V., Petyt, D., Pigazzini, S., Pinolini, B. S., Prova, P. R., Quaranta, C., Ragazzi, S., Rahatlou, S., Rasteiro Da Silva, J. C., Razis, P. A., Teles, P. Rebello, Reis, T., Riti, F., Rogan, C., Romanteau, T., Rosowsky, A., Rovelli, C., Rovere, M., Rusack, R., Salvi, G., Sancar, O., Sanchez, A., Sandever, C., Santanastasio, F., Saradhy, R., Sarkar, U., Schneider, M., Schroeder, N., Sculac, A., Sculac, T., Shahzad, M. A., Shepherd-Themistocleous, C. H., Simkina, P., Singla, A., Singovsky, A., Skovpen, Y., Smith, V. J., Soffi, L., Stachon, K., Steen, A., Steggemann, J., Succar, M., Tao, J., Tishelman-Charny, A., Tiwari, P. C., Tornago, M., Tramontano, R., Tsai, L. -S., Usai, E., Valsecchi, D., Vagnerini, A., Varela, J., Venditti, R., Verma, P., Vlassov, E., Wachirapusitanand, V., Wamorkar, T., Wang, C., Wang, J., Wadud, M. A., Yu, S. S., Zabi, A., Zghiche, A., Zhang, L., Zhu, R. Y., Zygal, L.

“…A real-time autoencoder-based anomaly detection system using semi-supervised machine learning is presented enabling the detection of anomalies in the CMS electromagnetic calorimeter data. …”
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GPU-based commonsense reasoning for real-time query answering and multimodal analysis by Tran, Ha Nguyen

“…The graph compression method converts the data graph to a weighted graph which is small enough to be maintained in GPU memory. …”
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Progressive search space reduction for human pose estimation by Ferrari, V, Marin-Jimenez, M, Zisserman, A

“…The method is fully automatic and self-initializing, and explains the spatio-temporal volume covered by a person moving in a shot, by soft-labeling every pixel as belonging to a particular body part or to the background. …”

Effects of soil management practices on soil fauna feeding activity in an Indonesian oil palm plantation by Tao, H-H, Slade, E, Willis, KJ, Caliman, J-P, Snaddon, JL

“…To address this knowledge gap, we used the bait lamina method to investigate the effects of different soil management practices on soil fauna feeding activity, and whether feeding activity was associated with management-mediated changes in soil chemical properties, in a 15-year-old oil palm plantation. …”